BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UNIgreen - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UNIgreen
X-ORIGINAL-URL:https://unigreen-alliance.eu
X-WR-CALDESC:Events for UNIgreen
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Brussels
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260407T000000
DTEND;TZID=Europe/Brussels:20260515T235959
DTSTAMP:20260515T134135
CREATED:20260304T190458Z
LAST-MODIFIED:20260323T084022Z
UID:10000066-1775520000-1778889599@unigreen-alliance.eu
SUMMARY:Practical Introduction to Artificial Intelligence for Students
DESCRIPTION:A hands-on introduction to how modern AI tools work and how to apply them effectively in academic and professional contexts.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill program\n\n\n\nTarget group: All students\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\n\nDeadline for admission is 28 March 2026 \n\n\n\nAudience\n\n\n\nThis course is interesting for students who want to learn to use AI tools in a professional manner\, who wish to train now in AI to be more competitive in their future work environment. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nNo prior background in computer science\, mathematics\, or programming is required.\n\n\n\nBasic digital skills (using documents\, email\, and online tools) are sufficient.\n\n\n\nCuriosity about how AI tools can support study\, research\, and everyday work is recommended.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course offers a practical introduction to modern Artificial Intelligence tools and how to use them effectively and responsibly. Instead of focusing on theory or complex technical details\, it helps students understand how AI systems behave\, how to interact with them clearly\, and how to integrate them into real academic and professional workflows. \n\n\n\nStudents will learn how to work with AI for writing\, research\, information management\, creative tasks\, and personal productivity\, while also understanding the limits\, risks\, and ethical considerations of these tools. The course is designed to be useful regardless of the student’s field of study. \n\n\n\nContent\n\n\n\n\nHow AI tools work in practice: capabilities\, limitations\, and typical sources of error.\n\n\n\nAdvance Prompting. Structured ways to interact with AI in order to obtain useful\, relevant outputs for everyday university tasks. Different approaches are explored depending on the complexity of the task and the type of result needed.\n\n\n\nUse of AI for writing\, research support\, information management\, and collaboration\, including working with longer documents and institutional materials.\n\n\n\nMultimodal uses: text\, images\, and audio.\n\n\n\nHow AI can be integrated into existing workflows\, adapted to specific roles\, and used responsibly\, with attention to ethical considerations relevant to higher education.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nUse AI tools confidently for study\, research\, and work-related tasks.\n\n\n\nWrite clear instructions and requests that improve the quality of AI-generated outputs.\n\n\n\nEvaluate AI-generated information critically and identify unreliable or incorrect content.\n\n\n\nApply AI to real situations such as document drafting\, knowledge management\, and multimedia creation.\n\n\n\nCustomize AI tools to personal needs using available settings and automation features.\n\n\n\n\nDuration\n\n\n\n30 hours (6 weeks\, 5 hours per week) \n\n\n\n\n2.5 hours of synchronous online sessions per week.\n\n\n\n2.5 hours of guided self-study per week.\n\n\n\n\nAssessment\n\n\n\nTo successfully complete the course\, participants are expected to: \n\n\n\n\nAttend at least 80% of the synchronous sessions.\n\n\n\nSubmit the assigned activities.\n\n\n\nParticipate actively in in-class dynamics and practical exercises.\n\n\n\n\nHow to Apply\n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/practical-introduction-to-artificial-intelligence-for-students/
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/03/Banner_eskill-AI.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260414T000000
DTEND;TZID=Europe/Brussels:20260529T235959
DTSTAMP:20260515T134135
CREATED:20260304T191141Z
LAST-MODIFIED:20260323T103520Z
UID:10000067-1776124800-1780099199@unigreen-alliance.eu
SUMMARY:Practical Introduction to Artificial Intelligence for University Staff
DESCRIPTION:A hands-on introduction to how modern AI tools work and how to apply them effectively across teaching\, research\, and administrative contexts.\n\n\n\n \n\n\n\n\nCourse format: Online\n\n\n\nType of program: E-Skill program\n\n\n\nTarget group: Academic and Non-academic Staff\n\n\n\nLanguage: English\n\n\n\nCost: Free\n\n\n\nAvailable places: 60\n\n\n\n\nDeadline for admission is 7 April 2026 \n\n\n\nAudience\n\n\n\nThis course is designed for university professionals including academic staff\, researchers\, and administrative staff who want to use AI tools in a practical and responsible way to improve everyday work (communication\, documentation\, planning\, and decision support)\, regardless of discipline or role. \n\n\n\nPre-requisites\n\n\n\n\nB2 or similar level of English is necessary.\n\n\n\nNo prior background in computer science\, mathematics\, or programming is required.\n\n\n\nBasic digital skills (using documents\, email\, and online tools) are sufficient.\n\n\n\nCuriosity about how AI tools can support everyday work is recommended.\n\n\n\nInterest in improving efficiency\, clarity\, and quality in university workflows is recommended.\n\n\n\n\n \n\n\n\nShort Description\n\n\n\nThis course provides a practical introduction to modern Artificial Intelligence tools and how to use them effectively and responsibly in a university setting. Rather than focusing on theory or complex technical details\, it helps participants understand how AI systems behave\, how to communicate with them clearly\, and how to integrate them into real institutional and professional workflows. \n\n\n\nParticipants will learn how to use AI to support writing and editing\, research and information gathering\, knowledge management\, and content creation while understanding limitations\, reliability risks\, data considerations\, and the ethical implications relevant to higher education. \n\n\n\nContent\n\n\n\n\nHow AI tools work in practice: capabilities\, limitations\, and common sources of error.\n\n\n\nAdvance Prompting for professional use. Structured ways to interact with AI in order to obtain useful outputs. Approaches adapted to different tasks and levels of complexity.\n\n\n\nUse of AI for teaching\, research\, and administration. Drafting and revising documents\, summarizing and structuring information\, improving internal communication\, and supporting collaboration.\n\n\n\nMultimodal uses: text\, images\, and audio.\n\n\n\nHow AI can be integrated into existing workflows\, adapted to specific roles\, and used responsibly\, with attention to ethical considerations relevant to higher education.\n\n\n\n\nLearning Outcomes\n\n\n\nAfter completing the course\, students will be able to: \n\n\n\n\nUse AI tools confidently for administrative tasks or research and teaching activities.\n\n\n\nWrite clear prompts and requests that improve the relevance\, accuracy\, and usability of AI-generated outputs.\n\n\n\nCritically assess AI-generated information and recognize unreliable\, incomplete\, or incorrect content.\n\n\n\nApply AI to real situations such as document drafting\, knowledge management\, and multimedia creation.\n\n\n\nCustomize AI tools to personal needs using available settings and automation features.\n\n\n\n\nDuration\n\n\n\n30 hours (6 weeks\, 5 hours per week) \n\n\n\n\n2.5 hours of synchronous online sessions per week.\n\n\n\n2.5 hours of guided self-study per week.\n\n\n\n\nAssessment\n\n\n\nTo successfully complete the course\, participants are expected to: \n\n\n\n\nAttend at least 80% of the synchronous sessions.\n\n\n\nSubmit the assigned activities.\n\n\n\nParticipate actively in in-class dynamics and practical exercises.\n\n\n\n\nHow to Apply\n\n\n\n\nMore Info and Registration
URL:https://unigreen-alliance.eu/event/practical-introduction-to-artificial-intelligence-for-university-staff/
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/03/Banner_eskill-AI.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Brussels:20260511T000000
DTEND;TZID=Europe/Brussels:20260515T235959
DTSTAMP:20260515T134135
CREATED:20260120T141618Z
LAST-MODIFIED:20260304T201828Z
UID:10000034-1778457600-1778889599@unigreen-alliance.eu
SUMMARY:Scientific Mission: Plant Breeding for the Robustness of Agricultural Systems
DESCRIPTION:UNIgreen’s JRC7 – Plant Breeding – Scientific Mission \n\n\n\nWho?\n\n\n\nEarly Career Researchers and PhD students from UNIgreen Alliance universities. (Max 20 participants)Participants are free to make their own reservations; the Organizers will provide a list of recommendations.Funding: UNIgreen mobility and Erasmus+ support may be available. \n\n\n\nObjectives \n\n\n\n\nIntensification of academic exchange by enhancing access to advanced research resources\n\n\n\nFacilitation of mobility for academics and doctoral students \n\n\n\nEstablishing international scientific networks among participants \n\n\n\nImproving research quality through knowledge exchange \n\n\n\nAdvancing UNIgreen towards becoming a collaborative community focused on innovation and sustainability \n\n\n\n\nProgramme\n\n\n\n\nDay 1: Welcoming and Session 1: Pre-breeding for resilience and environmental adaptation \n\n\n\nDay 2: On-site visit 1: CREA-GB facilitie (Genomics and bioinformatics)\n\n\n\nDay 3: On-site visit 2: UNIMORE campus in Modena \n\n\n\nDay 4: Session 2 and 3: Invited lecture and UNIgreen participants’ presentations and early Career Researchers Workshop: “Sharing Ongoing Research on Multi-Stress Adaptation”\n\n\n\nDay 5: Project design & cooperation (EU funding opportunities); competence verification; certificates\n\n\n\n\nTopics of Training\n\n\n\nStrategies and Methodologies for Multi-Stress Adaptation. More details coming soon. \n\n\n\nWho can apply?\n\n\n\nScientists employed by the UNIgreen Alliance Universities or persons completing their doctoral studies at the UNIgreen Alliance Universities\, with \n\n\n\n\nAt least CEFR B2 English language proficiency\n\n\n\n\n\nAt least EQF level 7 of education in the subject area: Health or Agronomy\n\n\n\n\n\nREGISTRATION\n\n\n\n\n \n\n\n\nApplication deadline: 3 March 2026.
URL:https://unigreen-alliance.eu/event/scientific-mission-plant-breeding-for-the-robustness-of-agricultural-systems/
CATEGORIES:Scientific Mission
ATTACH;FMTTYPE=image/jpeg:https://unigreen-alliance.eu/wp-content/uploads/2026/01/Banner-JRC7-Scientific-Mission.jpg
END:VEVENT
END:VCALENDAR